Security Data Engineer: Cloud Pipelines & Threat Detection

Goldman Sachs; Dallas (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

Goldman Sachs Services LLC in Dallas, Texas, is seeking an Associate, Security Engineering to design, build, and maintain large-scale security data pipelines across on-premises and AWS environments.

You will develop data models, implement CI/CD for data applications, and scale systems with Kubernetes while collaborating with global security teams to strengthen telemetry and threat detection capabilities.

Qualifications

• Master’s degree in Cyber Security, CS or Engineering with 1 year security experience, or Bachelor's with 3 years.

Responsibilities

• Design, develop, and maintain scalable data pipelines for security data.
• Develop data models and schemas for real-time alerting and analytics.
• Implement CI/CD pipelines for data applications and infrastructure.
• Deploy and scale data systems with Kubernetes for high availability.
• Perform security assessments, penetration testing, and code reviews.
• Collaborate with global security teams to enhance telemetry and tools.
• Evaluate and implement data engineering and security tools via PoCs.

Skills

Security architecture

OWASP & CWE

Threat modeling

Penetration testing

Vulnerability assessments

Code reviews

Shift-left security

Security risk assessments

Kafka

Spark

SQL

Python

Data modeling

Trino

Hive

BigQuery

Education

Master’s degree in Cyber Security, CS or Engineering

Bachelor’s degree in Cyber Security, CS or Engineering

Tools

Kubernetes

Job description

Goldman Sachs Services LLC in Dallas, Texas, is seeking an Associate, Security Engineering to design, build, and maintain large-scale security data pipelines across on-premises and AWS environments.

You will develop data models, implement CI/CD for data applications, and scale systems with Kubernetes while collaborating with global security teams to strengthen telemetry and threat detection capabilities.